Author details

Full Name

Geert Litjens

Affiliation

Radboud Institute for Health Sciences, Radboud University Medical Center

ORCID

Career Start Year

2010

Papers

H Index

Expertise

CM4AI Collaborator

PMID	Paper Title	Journal Title	Published Year
36791682	Artificial Intelligence in Bone Marrow Histological Diagnostics: Potential Applications and Challenges.	Pathobiology	2024
36306568	Predictive uncertainty estimation for out-of-distribution detection in digital pathology.	Med Image Anal	2023
37831571	The Latent Doctor Model for Modeling Inter-Observer Variability.	IEEE J Biomed Health Inform	2023
37437452	Gigapixel end-to-end training using streaming and attention.	Med Image Anal	2023
37164814	Tumoral Ki67 and PSMA Expression in Fresh Pre-PSMA-RLT Biopsies and Its Relation With PSMA-PET Imaging and Outcomes of PSMA-RLT in Patients With mCRPC.	Clin Genitourin Cancer	2023
36724605	Continual learning strategies for cancer-independent detection of lymph node metastases.	Med Image Anal	2023
32845835	Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images.	IEEE Trans Pattern Anal Mach Intell	2022
35841780	Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection.	Comput Biol Med	2022
35840566	The Medical Segmentation Decathlon.	Nat Commun	2022
35701372	A Decade of GigaScience: The Challenges of Gigapixel Pathology Images.	Gigascience	2022
35693032	Predicting biochemical recurrence of prostate cancer with artificial intelligence.	Commun Med (Lond)	2022
36426089	Dataset of prostate MRI annotated for anatomical zones and cancer.	Data Brief	2022
36358842	Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection.	Cancers (Basel)	2022
35046392	Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning.	NPJ Breast Cancer	2022
34772487	Using deep learning for quantification of cellularity and cell lineages in bone marrow biopsies and comparison to normal age-related variation.	Pathology	2022
31442971	Neural Image Compression for Gigapixel Histopathology Image Analysis.	IEEE Trans Pattern Anal Mach Intell	2021
33647784	Residual cyclegan for robust domain transformation of histopathological tissue slides.	Med Image Anal	2021
33590805	Mini Review: The Last Mile-Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology.	Toxicol Pathol	2021
33729928	Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels.	IEEE Trans Med Imaging	2021
33640523	Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics.	Breast	2021
34393083	Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps.	Eur Urol Focus	2021
33990804	Deep learning in histopathology: the path to the clinic.	Nat Med	2021
33216724	Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images-The ACDC@LungHP Challenge 2019.	IEEE J Biomed Health Inform	2021
32979109	Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma.	Virchows Arch	2021
32459716	The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma.	Am J Surg Pathol	2020
31926805	Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.	Lancet Oncol	2020
32873856	Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer.	Sci Rep	2020
30696866	Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.	Sci Rep	2019
31871843	Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks.	PeerJ	2019
31772836	Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks.	PeerJ	2019
31466046	Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.	Med Image Anal	2019
31624355	No pixel-level annotations needed.	Nat Biomed Eng	2019
31395244	State-of-the-Art Deep Learning in Cardiovascular Image Analysis.	JACC Cardiovasc Imaging	2019
31476576	Learning to detect lymphocytes in immunohistochemistry with deep learning.	Med Image Anal	2019
30946180	A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach.	Invest Radiol	2019
30825182	Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer.	Cell Oncol (Dordr)	2019
30993030	Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks.	PeerJ	2019
30716025	From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.	IEEE Trans Med Imaging	2019
29710158	Machine Learning Compared With Pathologist Assessment-Reply.	JAMA	2018
29994086	Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks.	IEEE Trans Med Imaging	2018
29860392	1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.	Gigascience	2018
27497072	Large scale deep learning for computer aided detection of mammographic lesions.	Med Image Anal	2017
28130702	Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR.	Int J Comput Assist Radiol Surg	2017
28146422	MAGE expression in head and neck squamous cell carcinoma primary tumors, lymph node metastases and respective recurrences-implications for immunotherapy.	Oncotarget	2017
29234806	Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.	JAMA	2017
29285517	Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.	J Med Imaging (Bellingham)	2017
28778026	A survey on deep learning in medical image analysis.	Med Image Anal	2017
28698556	Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.	Sci Rep	2017
28035663	Using deep learning to segment breast and fibroglandular tissue in MRI volumes.	Med Phys	2017
26192734	Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.	Radiology	2016

1 - 50 of 69

Fatemeh Zabihollahy

David Geffen School of Medicine, University of California los angeles

Career Start Year 2018

Number of shared co-authors 1

Anthony Sisk

University of California los angeles

Career Start Year 2017

Number of shared co-authors 2

Stephanie A Harmon

National Cancer Institute, National Institutes of Health

Career Start Year 2016

Number of shared co-authors 7

Zhe Guo

The University of Aizu, The Second Xiangya Hospital, Central South University

Career Start Year 2016

Number of shared co-authors 1

Ashirbani Saha

St. Michael's Hospital

Career Start Year 2015

Number of shared co-authors 0

Farzad Khalvati

Research Institute, The Hospital for Sick Children

Career Start Year 2013

Number of shared co-authors 1

Andre Esteva

Stanford University

Career Start Year 2013

Number of shared co-authors 1

Karthik V Sarma

University of California los angeles

Career Start Year 2013

Number of shared co-authors 2

Dibson D Gondim

University of Louisville

Career Start Year 2012

Number of shared co-authors 0

Sohrab Afshari Mirak

University Hospitals Cleveland Medical Center/Case Western Reserve University

Career Start Year 2011

Number of shared co-authors 1

Holger R Roth

NVIDIA Corporation

Career Start Year 2010

Number of shared co-authors 10

Hari Trivedi

Emory University

Career Start Year 2010

Number of shared co-authors 1

Lee A D Cooper

Northwestern Feinberg School of Medicine

Career Start Year 2008

Number of shared co-authors 6

Kyunghyun Sung

University of California los angeles

Career Start Year 2008

Number of shared co-authors 1

Ben Glocker

Imperial College London

Career Start Year 2007

Number of shared co-authors 12

Jayashree Kalpathy-Cramer

Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital

Career Start Year 2007

Number of shared co-authors 4

Arvind Rao

University of Michigan-Ann Arbor

Career Start Year 2006

Number of shared co-authors 1

William Hsu

American Medical Informatics Association, IEEE, Johns Hopkins University, Radiological Society of North America, University of California Los Angeles, University of California, Los Angeles

Career Start Year 2006

Number of shared co-authors 1

Jae Ho Sohn

University of California san francisco

Career Start Year 2005

Number of shared co-authors 5

Sameer Antani

National Institutes of Health

Career Start Year 2004

Number of shared co-authors 0

May D Wang

Georgia Institute of Technology

Career Start Year 2003

Number of shared co-authors 0

Arrate Mu??oz-Barrutia

Universidad Carlos III de Madrid

Career Start Year 2001

Number of shared co-authors 6

Jason D Hipp

Mayo Clinic

Career Start Year 2000

Number of shared co-authors 3

Hugo J W L Aerts

Harvard Medical School

Career Start Year 1999

Number of shared co-authors 3

Ali Kamen

Siemens Healthineers

Career Start Year 1998

Number of shared co-authors 1

Jeffrey L Fine

UPMC Magee-Womens Hospital and University of Pittsburgh School of Medicine

Career Start Year 1997

Number of shared co-authors 0

Awais Mansoor

Siemens Healthineers

Career Start Year 1991

Number of shared co-authors 0

Ronald M Summers

National Institutes of Health (NIH) Clinical Center

Career Start Year 1986

Number of shared co-authors 9

Daniel L Rubin

Stanford University.

Career Start Year 1981

Number of shared co-authors 0

Elena Casiraghi

Universita degli Studi di Milano

Career Start Year 1978

Number of shared co-authors 0

row(s) 1 - 30 of 30

Jeroen A W M van der Laak